SKIN TONE BASED IMAGE STEGANOGRAPHY USING PARTICLE SWARM OPTIMIZATION

Abstract

In data communication field, security problems become an essential issue. Steganography is the art of hiding the actual data in another transmission medium to obtain secret communication. It does not replace the cryptography but rather boosts the security using its features. In this paper, Biometric feature is implemented for skin tone region of images. Data hiding is done at detected skin tone regions. A novel steganography method is proposed which is based on particle swarm optimization for data hiding. It assures high security, good invisibility and robustness. The secret information is hided in the image to improve the security of stego images by means of PSO algorithm.

Authors and Affiliations

Vaddadi Swetha

Keywords

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  • EP ID EP138642
  • DOI 10.5281/zenodo.52499
  • Views 62
  • Downloads 0

How To Cite

Vaddadi Swetha (30). SKIN TONE BASED IMAGE STEGANOGRAPHY USING PARTICLE SWARM OPTIMIZATION. International Journal of Engineering Sciences & Research Technology, 5(5), 907-912. https://europub.co.uk/articles/-A-138642